exploring the targeted mailing models basic data mining tutorial
Tài liệu The top ten algorithms in data mining docx
... selecting these initial seeds include sampling at random from the dataset, setting them as the solution of clustering a small subset of the data, or perturbing the global mean of the data k times ... Outlook), D denotes the entire dataset, Dv is the subset of the dataset for which attribute Outlook has that value, and the notation | · | denotes the size of a dataset (in the number of instances) ... C4.5 for the dataset of Figure 1.1 Figure 1.1 presents the classical “golf” dataset, which is bundled with the C4.5 installation As stated earlier, the goal is to predict whether the weather conditions...
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Data Mining Tutorial
... declaring significance even if there’s no relationship Multiple testing α= Pr{ falsely reject hypothesis 2} α= Pr{ falsely reject hypothesis 1} Pr{ falsely reject one or the other} < 2α Desired: 0.05 ... small dataset, need all observations to estimate parameters of interest • Data mining – loads of data, can afford “holdout sample” • Variation: n-fold cross validation – Randomly divide data into ... as holdout Pruning • Grow bushy tree on the “fit data • Classify holdout data • Likely farthest out branches not improve, possibly hurt fit on holdout data • Prune non-helpful branches • What...
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data-mining-tutorial
... KDnuggets 45 Making the most of the data Once evaluation is complete, all the data can be used to build the final classifier Generally, the larger the training data the better the classifier (but ... predictive is the model we learned? Error on the training data is not a good indicator of performance on future data The new data will probably not be exactly the same as the training data! Overfitting ... Many Names of Data Mining Data Fishing, Data Dredging: 1960 used by statisticians (as bad name) Data Mining :1990 - used in DB community, business Knowledge Discovery in Databases (1989-)...
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data mining tutorial
... About the Tutorial Data Mining is defined as the procedure of extracting information from huge sets of data In other words, we can say that data mining is mining knowledge from data The tutorial ... incomplete data - The data cleaning methods are required to handle the noise and incomplete objects while mining the data regularities If the data cleaning methods are not there then the accuracy of the ... time Data Mining Task Primitives We can specify a data mining task in the form of a data mining query This query is input to the system A data mining query is defined in terms of data mining...
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The six business models for copyright infringement: A data-driven study of websites considered to be infringing copyright docx
... for the ‘Training data We selected a further 104 websites to be used to validate the segmentation – ‘Validation data 4.2.3 Obtaining the data and calculated the metrics We completed the data ... of their lists; and T • ther research or data sources relevant to the research which they o could make available to Detica We took the websites obtained and consolidated them, retaining the ... providers The interactions are described in the model below, Figure 4-4 Figure 4-4: The actors and their relationships who have a role in the websites Further researching the actors, the extreme...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
... pass through the data © Tan,Steinbach, Kumar Introduction to Data Mining Frequency and Mode The frequency of an attribute value is the percentage of time the value occurs in the data set – For ... cross-tabulations What these tables tell us? © Tan,Steinbach, Kumar Introduction to Data Mining 35 OLAP Operations: Data Cube The key operation of a OLAP is the formation of a data cube A data cube is ... Introduction to Data Mining Measures of Spread: Range and Variance Range is the difference between the max and The variance or standard deviation is the most common measure of the spread of a...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... to Data Mining 26 How to determine the Best Split Before Splitting: 10 records of class 0, 10 records of class Which test condition is the best? © Tan,Steinbach, Kumar Introduction to Data Mining ... to Data Mining Gini(Children) = 7/12 * 0.194 + 5/12 * 0.528 = 0.333 34 Categorical Attributes: Computing Gini Index For each distinct value, gather counts for each class in the dataset Use the ... Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining Apply Model to Test Data Test Data Start from the root of tree Refund Marital Status No Refund Yes Taxable Income...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... Introduction to Data Mining 34 Alternative Methods for Frequent Itemset Generation Representation of Database – horizontal vs vertical data layout © Tan,Steinbach, Kumar Introduction to Data Mining 35 ... projected database of its ancestor node – Bitvector containing information about which transactions in the projected database contain the itemset © Tan,Steinbach, Kumar Introduction to Data Mining ... Compute the support and confidence for each rule – Prune rules that fail the minsup and minconf thresholds ⇒ Computationally prohibitive! © Tan,Steinbach, Kumar Introduction to Data Mining Mining...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... variation of the global objective function approach is to fit the data to a parameterized model • Parameters for the model are determined from the data • Mixture models assume that the data is a ... similar) to the “center” of a cluster, than to the center of any other cluster – The center of a cluster is often a centroid, the average of all the points in the cluster, or a medoid, the most ... with the highest SSE – If there are several empty clusters, the above can be repeated several times © Tan,Steinbach, Kumar Introduction to Data Mining 34 Updating Centers Incrementally In the basic...
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Data Mining the SDSS SkyServer Database pot
... analyze the data and maximize the value of their oneyear exclusivity on the data After a year or so, the SDSS publishes the data to the astronomy community and the public – so in 2007 all the SDSS data ... (http://skyserver.sdss.org/) on the Internet or they may get a private copy of the data Amendments to this data will be released as the data analysis pipeline improves, and the data will be augmented as more be- The Alfred ... representing the color magnitudes as an array, they are represented as scalars indexed by their names ModelMag_r is the name of the “red” magnitude as measured by the best model fit to the data In other...
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Data mining study the matlab tutorial, khai phá dữ liệu số
... không ? “Necessity is the mother of invention” - Data Mining đời hướng giải hữu hiệu cho câu hỏi vừa đặt Khá nhiều định nghĩa Data Mining đề cập phần sau, nhiên tạm hiểu Data Mining công nghệ tri ... tương tự với từ Datamining Knowledge Mining (khai phá tri thức), knowledge extraction(chắt lọc tri thức), data/ patern analysis(phân tích liệu/mẫu), data archaeoloogy (khảo cổ liệu), datadredging(nạo ... TỔNG QUAN VỀ KHAI PHÁ DỮ LIỆU - DATA MINING 1.Khai phá liệu gì? Khai phá liệu (datamining) định nghĩa trình chắt lọc hay khai phá tri thức từ lượng lớn liệu Thuật ngữ Dataming ám việc tìm kiếm tập...
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báo cáo khoa học: "Hypersensitivity reactions to anticancer agents: Data mining of the public version of the FDA adverse event reporting system, AERS" ppsx
... [12-14] Input data for this study were taken from the public release of the FDA’s AERS database, which covers the period from the first quarter of 2004 through the end of 2009 The data structure ... rank-order was consistent with clinical observations, suggesting the usefulness of the AERS database and the data mining method used [6] The National Cancer Institute Common Terminology Criteria for ... using the IC is done using the IC025 metric, a criterion indicating the lower bound of the 95% two-sided CI of the IC, and a signal is detected with the IC025 value exceeds [10] Finally, the EB05...
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Data mining the web using perl
... Systems (the Gecko) • Programming Perl (the Camel) Web -mining • Perl & LWP (the Blesbok, apparently) • Spidering Hacks These books, and some others, are or will be available in the “QuaSSI ... Publishing) Lots of mailing lists, etc Books Basics of Perl • The best books are put out by O’Reilly Publishing and are generally known by the animal on the cover • Learning Perl (the Llama) or, ... to the command prompt Hit the up arrow (to get the last command, perl howdy.pl –w Look at that – you’re a programmer! Break the program Go back to WinEdt Delete the semicolon at the...
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Nghiên cứu cách thể hiện Data Mining sử dụng lý thuyết tập thô, tìm hiểu luật kết hợp trong khai thác dữ liệu, demo quá trình khai phá dữ liệu sử dụng thuật toán Apriori
... (Knowledge Discovery in Database-KDD), trích lọc liệu (knowlegde extraction), phân tích liệu/mẫu (data/ pattern analysis), khảo cổ liệu (data archaeology), nạo vét liệu (data dredging) Nguyễn Ngọc ... thức CSDL bao gồm giai đoạn: Lựa chọn liệu (Raw Data) , Làm liệu (Data Selection), Làm giàu liệu (Pre-Processing), mã hóa, khai thác liệu (DATA MINING) báo cáo (Evaluation/Interpretation) Trong ... #TempCandidateOther /* Bắt đầu chạy vòng lặp để ghép thử phần tử Level với phần tử Các phần tử ghép tiếp thuộc Level ngày bị thu hẹp lại theo thời gian Level cao */ While @subcounter < @candidatesOtherCount...
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graphical models representations for learning reasoning and data mining wiley series in computational statistics
... in the first experiment the rankings of the outcomes are the same for the basic probability and the basic possibility assignment, they differ significantly for the second experiment Although the ... later These preprocessing steps usually consume the greater part of the total costs Depending on the data mining task that was identified in the goal definition step (see below for a list), data mining ... AND DATA MINING The preliminary steps mainly serve the purpose to decide whether the main steps should be carried out Only if the potential benefit is high enough and the demands can be met by data...
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Báo cáo y học: "Management of chest pain: exploring the views and experiences of chiropractors and medical practitioners in a focus group interview"
... the general themes Once completed, the investigators came together to collapse their lists of themes into one set of themes as reached via consensus This process involved examining themes for ... relationship between the providers, and that the nature of the referral (e.g., amount and type of information accompanying the referral) may depend on the nature of the condition, whether the referral ... return the patient to the primary medical practitioner rather than referring them elsewhere, although this also may depend on the nature of the condition and the relationship between the specialty...
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Data warehuose and data mining
... trong qui trình KDD Pattern Evaluation Data mining Task relevant data Data warehouse Data cleaning Knowledge Data integration selection Mục đích KTDL Data Mining Descriptive Predictive Classification ... Environment • Subject = Customer • Data Warehouse Biến thời gian • Time • Data • 01/97 Data for January • • 02/97 Data for February • • 03/97 Data for March • • Data • Warehouse Ổn Định • Là lưu ... Nội Dung • Kho liệu (Data warehouse) • Khai thác liệu (Data mining) – Giới thiệu – Giới thiệu – Qui trình khám phá tri thức – Định nghĩa – DW - Traditional Database – Luật kết hợp – Mục...
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Data Mining - Chapter 2
... lý liệu Pattern Evaluation/ Presentation Data Mining Patterns Task-relevant Data Data Warehouse Data Cleaning Selection/Transformation Data Integration Data Sources 2.1 Tổng quan giai đoạn tiền ... ZhaoHui Tang, Jamie MacLennan, Data Mining with SQL Server 2005”, Wiley Publishing, 2005 [6] Oracle, Data Mining Concepts”, B28129-01, 2008 [7] Oracle, Data Mining Application Developer’s ... đo phân tán liệu Quartiles The second quartile (Q2): the 50th percentile (median) The first quartile (Q1): the 25th percentile The third quartile (Q3): the 75th percentile Interquartile...
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Data mining
... đầu vào với tóm tắt, tổng hợp hồ sơ đầu The recency, frequency, monetary (RFM): The sort node: Xếp loại hồ sơ tăng giảm dựa giá trị hay nhiều tiêu chí The merge node: Các nút Merge có nhiều hồ ... TPHCM the filter node: Lọai bỏ số biến the reclassify node: Phân loại lại nút chuyển đổi tập giá trị rời rạc khác Phân loại lại hữu dụng cho thu gọn danh mục tập hợp liệu để phân tích the bining ... worksheet sẵn Data range: Bạn nhập liệu bắt đầu với hàng không trống với phạm vi rõ ràng: • First non-blank row: Định vị biến không trống sử dụng góc bên trái vùng liệu Nếu gặp hàng trống tiếp theo,...
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hash-based approach to data mining
... that is hidden in the database Through the work of data mining, we can discover knowledge – the combination of information, events, fundamental rules and their relationship, the entire thing are ... initial data Therefore, data mining grows quickly, step by step plays a key role in our lives now Each application has other requirements, correlate with other methods for the particular databases ... pass, then there after, keep these elements will bring us nothing but superfluous 12 Hash-Based Approach to Data Mining calculations There are two sub processes in the algorithm according to the...
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- exploring the visual basic editor in access
- the basic data types
- data mining concepts models methods and algorithms 2nd edition pdf
- data mining concepts models methods and algorithms second edition pdf
- preparing the analysis services database basic data mining tutorial
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- building a targeted mailing structure basic data mining tutorial
- testing models basic data mining tutorial
- creating and working with predictions basic data mining tutorial
- creating the intermediate data mining solution intermediate data mining tutorial
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- building a forecasting scenario intermediate data mining tutorial
- building a market basket scenario intermediate data mining tutorial
- building a sequence clustering scenario intermediate data mining tutorial
- building neural network and logistic regression models intermediate data mining tutorial
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